浏览全部资源
扫码关注微信
1. 中国联合网络通信有限公司研究院,北京 100048
2. 中国联合网络通信集团有限公司,北京 100033
[ "李涛(1978- ),男,中国联合网络通信有限公司研究院数智化规划与研究室主任、正高级工程师,中国通信学会人工智能技术与应用委员会委员,中国人工智能学会高级会员,主要研究方向为智能化体系、网络AI、数智化规划等" ]
[ "王春佳(1984- ),男,现就职于中国联合网络通信集团有限公司,主要研究方向为数字化转型、战略规划、项目管理、质量管理、研发管理" ]
[ "李姗姗(1986- ),女,中国联合网络通信有限公司研究院高级工程师,主要研究方向为数智化规划、大数据挖掘、数字化效能评价等" ]
网络出版日期:2023-03,
纸质出版日期:2023-03-20
移动端阅览
李涛, 王春佳, 李姗姗. 电信网络智能化方案研究[J]. 电信科学, 2023,39(3):162-172.
Tao LI, Chunjia WANG, Shanshan LI. Research on intelligent scheme of telecommunication network[J]. Telecommunications science, 2023, 39(3): 162-172.
李涛, 王春佳, 李姗姗. 电信网络智能化方案研究[J]. 电信科学, 2023,39(3):162-172. DOI: 10.11959/j.issn.1000-0801.2023042.
Tao LI, Chunjia WANG, Shanshan LI. Research on intelligent scheme of telecommunication network[J]. Telecommunications science, 2023, 39(3): 162-172. DOI: 10.11959/j.issn.1000-0801.2023042.
电信运营商迫切需要通过智能化推动网络敏捷、高效、智能,实现网络的自我配置、自我管理、自我优化。但由于AI与通信网络的发展路线、技术特性不一致,需要系统地考虑如何将AI与通信网络深度融合。基于电信网络智能化行业发展情况,在对电信运营商智能化需求分析和现状评估的基础上,提出了电信网络智能化目标和技术方案,涵盖智能化框架、智能化功能模块与流程、数据处理、算法模型构建与集成等。该方案有助于推动电信运营商大规模智能化,提升运营效能。
The network of telecom operators needs to be promoted urgently in agility
efficiency and intelligence to realize its self-configuration
self-management and self-optimization.However
due to the inconsistent development route and technical characteristics between AI and communication network
how to deeply integrate AI and communication network is necessary to be considered systematically.Based on the development of the telecommunication network intelligence industry
and on the basis of the analysis of the needs of telecom operators for intelligence and the assessment of the status quo
the goal and technical scheme of telecommunication network intelligence were proposed
which covered the intelligent framework
intelligent functional modules and processes
data processing
algorithm model construction and integration.The scheme was helpful to promote the large-scale intellectualization of telecom operators and improve operational efficiency.
3GPP . Intent driven management services for mobile networks(version 17.1.0) [S ] . 2022 .
杨震 , 赵建军 , 黄勇军 , 等 . 基于网络演进的人工智能技术方向研究 [J ] . 电信科学 , 2022 , 38 ( 12 ): 27 - 34 .
YANG Z , ZHAO J J , HUANG Y J , et al . Study on the direction of artificial intelligence technology based on network evolution [J ] . Telecommunications Science , 2022 , 38 ( 12 ): 27 - 34 .
李涛 , 李姗姗 , 方虬 . 运营网络智能化体系研究 [J ] . 信息通信技术 , 2022 , 16 ( 5 ): 47 - 54 .
LI T , LI S S , FANG Q . Research on intelligent operation network system [J ] . Information and Communications Technologies , 2022 , 16 ( 5 ): 47 - 54 .
ETSI . Generic autonomic network architecture (GANA) (version 1.1.1) [S ] . 2020 .
ITU-T . Architectural framework for machine learning in future networks including IMT-2020:ITU-T Y.3172 [S ] . 2019 .
TMF . Autonomous networks whitepaper (3.0) [R ] . 2021 .
梁春晖 . 5G 通信与人工智能的技术融合分析 [J ] . 电子技术 , 2022 , 51 ( 3 ): 250 - 251 .
LIANG C H . Analysis on technical integration of 5G communication and artificial intelligence [J ] . Electronic Technology , 2022 , 51 ( 3 ): 250 - 251 .
刘光毅 . 通信和人工智能导读 [J ] . 无线电通信技术 , 2022 , 48 ( 4 ): 559 - 561 .
LIU G Y . Guide to communications and AI [J ] . Radio Communications Technology , 2022 , 48 ( 4 ): 559 - 561 .
黄秋萍 , 刘晓峰 , 高秋彬 , 等 . 基于人工智能的大规模天线信道状态信息反馈研究 [J ] . 电信科学 , 2022 , 38 ( 3 ): 74 - 83 .
HUANG Q P , LIU X F , GAO Q B , et al . Study of channel state information feedback based on artificial intelligence [J ] . Telecommunications Science , 2022 , 38 ( 3 ): 74 - 83 .
王东 , 管婉青 , 张海君 , 等 . 基于人工智能的6G网络技术 [J ] . 无线电通信技术 , 2021 , 47 ( 6 ): 724 - 731 .
WANG D , GUAN W Q , ZHANG H J , et al . 6G network technology based on artificial intelligence [J ] . Radio Communications Technology , 2021 , 47 ( 6 ): 724 - 731 .
0
浏览量
471
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构